An Introduction to Global Spectral Modeling / Atmospheric and Oceanographic Sciences Library Bd.35 (PDF)
Numerical weather prediction is receiving increased attention as weather forecasters aim to improve the numerical models used to forecast the weather. This is a textbook on global spectral modeling, which is an important component for global weather...
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Numerical weather prediction is receiving increased attention as weather forecasters aim to improve the numerical models used to forecast the weather. This is a textbook on global spectral modeling, which is an important component for global weather forecasts at numerous operational centers. This book covers all areas of model development including numerical analysis, treatment of clouds, mountains, radiation, precipitation processes, and the surface layers over land and the ocean. The objectives of this book are to provide a systematic and sequential background for students, researchers, and operational weather forecasters in order to develop comprehensive weather forecast models. This is designed for a one semester introductory graduate level course on weather prediction methodologies. As a prerequisite it requires a basic background in meteorology, applied mathematics, and numerical analysis.
T.N. Krishnamurti is professor of meteorology at Florida State University. He obtained his PhD in 1959 at the University of Chicago. His research interests are in the following areas: high resolution hurricane forecast (tracks, landfall, and intensity), monsoon forecasts on short, medium range, and monthly time scale and studies of interseasonal and interannual variability of the tropical atmosphere. As a participant in the meteorology team in tropical field projects, he has been responsible for the acquisition and analysis of meteorological data, which extends over most of the tropical atmosphere over several years and is now being assembled and analyzed. These data are unique; it is unlikely that a meteorological data record will be available for decades. Phenomenological interests include hurricanes, monsoons, jet streams, and the meteorology of arid zones.
H.S. Bedi is affiliated with Florida State University.
V.M. Hardiker is a research associate at Florida State University.
L. Ramaswamy is a graduate research assistant in the Department of Meteorology at Florida State University.
- Autoren: T. N. Krishnamurti , H. S. Bedi , V. Hardiker , Leela Watson-Ramaswamy
- 2006, 2nd, revidierte and enlarged ed. 2006, 320 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 0387329625
- ISBN-13: 9780387329628
- Erscheinungsdatum: 11.07.2006
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 6.80 MB
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- Vorlesefunktion
James Russell Carr in Mathematical Geology, Vol. 31, No. 8, 1999 on the book's first edition:
In summary, the mathematical treatment is quite intense and demands patience of readers, at least in the case of this one. But if at all intrigued by how sophisticated weather forecasting has become (certainly strom forecasting) then a reader will find this book not only interesting, but thorough enough to enable model development if that is a goal. Problems are presneted at the end of each chapter, so this book can be used as a texct in the class room. Reserachers involved in the modeling of turbulence, ocean systems and tectonic systems may also value the presentation of this book.
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